Fabricated bridge large-size heavy component production scheduling method and system and storage medium

Abstract

The invention provides a production scheduling method and system for large-size heavy components of a fabricated bridge and a storage medium. The production scheduling method comprises the steps that a planning data foundation is established; performing size aggregation grouping based on the planning data; determining a template stage sequence; distributing beam type group storage areas; calculating a target stacking horizon; carrying out reverse-order production sequence derivation based on a stacking target; and generating a component-level production and stacking plan. According to the method, the construction sequence, the component size aggregation, the stacking layer position and the storage area are considered in a unified mode under the complex scene, collaborative optimization of the production sequence, the stacking sequence and the hoisting sequence is achieved, reshipment is reduced, the overall efficiency is improved, storage yard management is more standardized, the informatization degree is high, multi-system linkage of WMS, MES, BIM and the like is facilitated, and the construction efficiency is improved. The traceable management of the components in the whole life cycle from design, production to installation is realized.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of engineering construction informatization and production scheduling optimization, and particularly relates to a prefabricated bridge large-volume heavy component production scheduling method and system based on reverse sequence production and partition stacking collaborative optimization and a storage medium. BACKGROUND

[0002] In the construction of prefabricated bridges, a large number of large-volume heavy components such as prefabricated T-shaped beams and box beams are used. In existing engineering practices, the following problems mainly exist in beam field production scheduling and yard management:

[0003] 1. Production sequence is disconnected from construction sequence;

[0004] Although the accurate component information of the Building Information Modeling (BIM) system can be transmitted to the production end, the construction unit usually organizes the production of large-volume heavy components such as beam pieces according to resources such as equipment, personnel, and templates by relying on manual or incomplete information, and the production sequence is often inconsistent with the construction sequence of on-site hoisting, resulting in a mismatch between the beam piece stacking sequence and the hoisting sequence.

[0005] 2. Frequent rehandling and low efficiency;

[0006] Beam pieces are usually stacked in multiple layers in the yard, and the upper components must be hoisted away before the lower components can be removed. When the beam pieces constructed first are pressed below by the beam pieces constructed later, temporary rehandling and positioning must be used to solve the problem, resulting in repeated hoisting and yard transportation, increasing costs and safety risks.

[0007] 3. Different size beam pieces are mixed and stacked, making it difficult to manage uniformly;

[0008] Components of different span lengths and different cross-sectional sizes are often mixed and stacked in the same yard, and the stacking rules are not uniform, which brings difficulties to the linkage of yard numbering management, Warehouse Management System (WMS), and Manufacturing Execution System (MES).

[0009] 4. Lack of unified production scheduling and stacking collaborative method;

[0010] The management of existing MES or WMS usually stays at the component list and simple sorting level, and lacks a unified optimization method that comprehensively includes construction sequence, component size, stacking physical constraints, and storage area, resulting in production scheduling results relying on manual experience and being difficult to realize standardization and automation.

[0011] Therefore, there is an urgent need for a scheduling method and system that can take into account the construction sequence, component size aggregation, stacking layers and storage areas in complex scenarios, so as to achieve coordinated optimization of production sequence, stacking sequence and hoisting sequence, thereby reducing relocation and improving overall efficiency. Summary of the Invention

[0012] To address the shortcomings of existing technologies, this invention provides a method, system, and storage medium for scheduling the production of large-volume heavy components for prefabricated bridges. It can unify the consideration of construction sequence, component size aggregation, stacking layers, and storage areas in complex scenarios, achieving coordinated optimization of production sequence, stacking sequence, and hoisting sequence, reducing relocation, and improving overall efficiency.

[0013] The present invention achieves the above-mentioned technical objectives through the following technical means.

[0014] A method for scheduling the production of large-volume heavy components for prefabricated bridges includes the following process:

[0015] Step 1: Collect component information from different sources and convert it into a standardized data model that can be used for calculation;

[0016] Step 2: Based on the standardized data model, aggregate and group the component sizes according to the planning package to obtain the beam type group set;

[0017] Step 3: Determine the sequence of formwork stages for the beam group;

[0018] Step 4: Allocate storage areas for beam groups;

[0019] Step 5: Calculate the target stacking layer for each span within the beam group;

[0020] Step 6: Perform reverse production sequence derivation based on stacking targets;

[0021] Step 7: Generate component-level production and stacking plans.

[0022] Furthermore, in step 1, the standardized data model is cross-set. , , , , They represent the 1st span, the 2nd span, and the 3rd span, respectively. Span; and for any span ,1≤ ≤ It has the following attributes:

[0023] Span Used to distinguish beam types of different sizes;

[0024] On-site construction sequence ,and , represents a set of positive integers;

[0025] Beam piece quantity ;

[0026] Optional attributes include: bridge site partition, direction, traffic organization priority.

[0027] Further, the size aggregation grouping process in step 2 is as follows:

[0028] According to the span length, the span set is clustered to form a beam type group :

[0029]

[0030] Wherein, is the span length size;

[0031] The beam type group set obtained by aggregation is:

[0032]

[0033] Wherein, , , respectively represent each beam type group formed under different span length sizes.

[0034] Further, the step 3 specific process is as follows:

[0035] Set the mapping function of the function beam type span length to the template stage sequence number : , , , respectively represent the first span length size, the second span length size, the span length size;

[0036] In the span set , the spans are sorted in ascending order according to the construction sequence , and the following sequence is constructed:

[0037] , wherein

[0038] Scan the sequence in turn, and when a span length first appears, assign it a new stage number, thus obtaining the template stage sequence:

[0039] = stage number

[0040] Wherein, 、 、 respectively represent the 1st span, the 2nd span, the last span in the construction sequence order respectively; 、 、 respectively represent the construction sequence number of the first batch construction, the second batch construction, the last batch construction in the construction sequence number of the corresponding span; represent the span corresponding to the span length mapped to the template production stage number; represent the sequence number of each span in the construction sequence, the value range is .

[0041] Further, the step 4 specific process is as follows:

[0042] Set the storage area set of the yard :

[0043]

[0044] Set the area allocation function :

[0045]

[0046] Assign each beam type group to one or more storage areas, and the same span length beam type group is preferentially concentrated in the same area:

[0047]

[0048] wherein, 、 、 respectively represent the 1st, 2nd, the last storage area available in the yard; represent the span length size category corresponding storage area allocation function; represent the span belonging to the span length category is allocated to the storage area of the yard .

[0049] Further, the step 5 specific process is as follows:

[0050] For any beam type group , let its internal components be arranged in ascending order of construction sequence:

[0051]

[0052] wherein:

[0053]

[0054] wherein, represents the beam-type group the span sequence arranged in ascending order according to the construction sequence; , , respectively represent the 1st, 2nd, span arranged in ascending order according to the construction sequence in the beam-type group; , , respectively represent the construction sequence number of , , ;

[0055] set the target stack layer position function herein represents the sequence number of the span in the construction sequence in the beam-type group, and the value range of is ;

[0056] is the highest layer in the beam-type group;

[0057] is the lowest layer in the beam-type group;

[0058] the earlier the construction sequence, the higher the target stack layer position, which is formalized as:

[0059]

[0060] wherein, , respectively represent the construction sequence number of the 1st span and the 2nd span; , respectively represent the target stack layer position number of and . Further, the step 6 is specifically as follows:

[0061] in the same beam-type group , the sequence

[0062] sorted in step 5 is traversed in reverse to obtain the production sequence sequence :

[0063]

[0064] according to the order of to produce, forming the production sequence function​​ ;

[0065] Stacking in the order of component completion time, formalized as:

[0066]

[0067] Wherein, , Respectively represent the production order number across and across ; Represents the actual stacking layer position of in the yard; Represents the actual stacking layer position of in the yard;

[0068] Because the production order and the construction order are strictly inverse in the group, therefore:

[0069]

[0070] The target stacking layer position is achieved by inverse production; Represents the actual stacking layer position function.

[0071] Further, in step 7, each span is expanded to the component level, i.e. from the beam type group to each piece of beam; for the first piece of beam , the following fields are recorded:

[0072] Production order number ; Belonging span , span length ; Belonging beam type group ; Template stage number ; Storage area ; Stacking layer position ; Construction order ;

[0073] The component-level production scheduling and stacking plan table is automatically generated, which is used to drive the prefabrication production and yard operation.

[0074] A system for implementing the above-mentioned prefabricated bridge large-volume heavy component production scheduling method, comprising:

[0075] A data modeling module collects and stores basic information including span number, span length, construction order, beam piece number, and storage area, and processes it into a standardized data model that can be used for calculation;

[0076] A size aggregation grouping module clusters components based on span length to generate a beam type group set;

[0077] A template stage decision module determines a template production stage sequence of the beam type group according to the construction sequence and engineering requirements;

[0078] A storage area allocation module allocates a storage area for each beam type group to realize centralized stacking of the same size;

[0079] A stacking layer position decision module calculates a target stacking layer position in each beam type group based on the construction sequence;

[0080] A reverse sequence production scheduling module generates a reverse sequence production sequence in the group according to the target stacking target layer position and forms a production sequence function;

[0081] A plan generation and release module generates a production and stacking plan table to drive prefabrication production and yard operation.

[0082] A computer readable storage medium has a computer program stored thereon, and the program executes the steps of the prefabricated bridge large heavy component production scheduling method when running on a processor.

[0083] The present application has the following beneficial effects:

[0084] (1) The production sequence and the construction sequence are matched in coordination;

[0085] By introducing the chain reasoning of "construction sequence → target layer position → reverse sequence production", it is ensured that the components in the yard are consistent with the subsequent hoisting sequence after stacking, avoiding the problem of "first construction components being pressed in the lower layer" in the traditional scheme.

[0086] (2) Significantly reduce the transportation and repeated lifting;

[0087] Since the stacking layer position is realized by pre-planning of reverse sequence production, temporary transportation is not required or rarely required during component hoisting, greatly reducing the secondary handling workload and crane occupation time.

[0088] (3) Reduce template switching and improve production efficiency;

[0089] By aggregating across long sizes and making template stage sequence decisions, the same beam type components are concentrated in the same production stage, reducing the frequency of template adjustment, thereby improving the prefabrication production rhythm.

[0090] (4) The yard management is standardized and highly informationized;

[0091] According to the beam type, the stacking is divided into zones, and a unified data model and plan table are formed in the system, which facilitates the linkage of WMS, MES, BIM and other systems, and realizes the whole life cycle traceable management of components from design, production to installation.

[0092] (5) The present application is based on set, sorting, mapping and inverse order relationship, and can adapt to different component types, different storage area quantities and different construction organization strategies, and has good versatility and scalability.

[0093] (6) The present application can consider construction sequence, component size aggregation, stacking layer position and storage area in complex scenes, realize collaborative optimization of production sequence and stacking sequence, hoisting sequence, reduce the transportation, and improve the overall efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0094] Figure 1 The flow chart of the prefabricated bridge mass heavy component production scheduling method of the present application; DETAILED DESCRIPTION

[0095] The present application will be further described below in combination with the drawings and specific embodiments, but the protection scope of the present application is not limited thereto.

[0096] The prefabricated bridge mass heavy component production scheduling method based on the prefabricated bridge mass heavy component production scheduling system is shown in Figure 1 , and specifically includes the following processes:

[0097] Step 1: Establish a planning data base, that is, use a BIM system to convert component information from different sources (such as BIM model, construction organization design, yard system, etc.) into a standardized data model that can be used for calculation, as follows:

[0098] Build span set:

[0099]

[0100] Among them, represents a span set composed of all spans, , , represent the 1st span, the 2nd span, the span respectively;

[0101] For any span (1≤ ≤ ), the following attributes are defined:

[0102] Span length , used to distinguish different size beam types;

[0103] Construction sequence on site , the smaller the value, the earlier the construction, and , represents a set of positive integers;

[0104] Beam piece quantity , which is usually a constant, and can also be an arbitrary integer;

[0105] The optional attributes include: bridge location partition, direction, traffic organization priority, etc.

[0106] The above information (i.e., cross-set containing a plurality of attribute information) is stored into the component data table by using the BIM system, and more component attributes are extracted based on the uniform identifier GUID provided by the BIM system, including geometric attributes, semantic attributes (such as construction section, material type, etc.), and the component geometric attributes (length, width, height, cross section, span number, beam number) are automatically associated with the production scheduling system as the basic data for subsequent production scheduling and stacking calculation.

[0107] Step 2: Size aggregation grouping based on planning packaging;

[0108] In the BIM system and the corresponding Work Breakdown System (WBS) plug-in, the planning objects are packaged, the components are aggregated into construction sections (such as spans), and then the parameters and coefficients are extracted in the MES, i.e., the production queue information and time arrangement information are extracted to form the basis of production scheduling. The specific process of size aggregation grouping is as follows:

[0109] In the given planning packaging, the components are aggregated according to the size;

[0110] According to the span length The span set is clustered to form a plurality of beam type groups:

[0111]

[0112] Among them, represents a beam type group, i.e., all span sets with a span length of , and is a certain span length, such as 20m, 25m, 30m, etc.

[0113] The aggregated beam type group set is:

[0114]

[0115] Among them, , , respectively represent each beam type group formed under different span length sizes.

[0116] Through this step, components with the same geometric size and formwork requirements are classified, which is beneficial to reduce the number of formwork switching, and also realizes the docking of BIM and WBS information to MES.

[0117] Step 3: Determine the template stage sequence in WBS and import into MES;

[0118] On the basis of step 2, the production stage sequence of each beam type group needs to be determined, wherein the construction sequence information of the span is provided by the construction plan or WBS as input data for the template stage sequence, and the MES does not regenerate the construction sequence, but derives the stage based on the construction sequence data provided by the WBS; the specific process is as follows:

[0119] Define the function : , , which represents the mapping function of the span length to the template stage sequence number, , , , respectively represent the first span length, the second span length, the span length, , represents the total number of span lengths (i.e. the number of beam type groups).

[0120] In the span set , the spans are sorted in ascending order according to the construction sequence , and the following sequence is constructed:

[0121] , wherein

[0122] The sequence is scanned in turn, and when a span length first appears, it is assigned a new stage number, and thus the template stage sequence is obtained:

[0123] = stage number

[0124] , wherein , , , respectively represent the first span, the second span, the span after sorting according to the construction sequence; , , , respectively represent the construction sequence number of the first batch of construction, the second batch of construction, and the last batch of construction of the corresponding span; , represents the template production stage number to which the span corresponding span length is mapped; , represents the sequence number of each span in the construction sequence, with a value range of ;

[0125] The template stage refers to the stage of template adjustment in production, for example, the first stage is a 25m beam template, the second stage is a 30m beam template, and the third stage is adjusted to a 25m beam template; this step ensures that the production stage sequence of the beam type group takes into account the construction plan and the utilization rate of the template.

[0126] Step 4: Assign beam type group storage areas in WMS;

[0127] Set the storage area set of the yard For:

[0128]

[0129] Set the area allocation function :

[0130]

[0131] Assign each beam type group to one or more storage areas, preferably in a one-to-one relationship, i.e., the same span length beam type group is preferentially concentrated in the same area:

[0132]

[0133] wherein , , represent the 1st, 2nd, and storage areas available in the yard, respectively; represent the span length size category corresponding storage area allocation function; represent the span belonging to the span length category allocated to the storage area of the yard;

[0134] This step realizes size-based partitioning and stacking, facilitating unified management and hoisting organization.

[0135] Step 5: Calculate target stacking layer positions in WMS;

[0136] This step calculates the target stacking layer position of each span within the beam type group based on the construction sequence, as follows:

[0137] For any beam type group , arrange the internal components in ascending order of construction sequence:

[0138]

[0139] wherein

[0140]

[0141] in, Indicates beam type group The cross-sequence is arranged in ascending order of construction sequence; , , These represent the 1st, 2nd, and 3rd construction sequences within the beam group, arranged from earliest to latest. One span; , , They represent , , Construction sequence number;

[0142] Define target stacking level function , where here This indicates the sequence number within the construction sequence of the beam group (i.e., the first...). (a construction span), at this time The range of values ​​is :

[0143] This is the highest level (easiest to lift) in this beam group.

[0144] This is the lowest level in this beam group;

[0145] The earlier the construction sequence, the higher the target stacking layer, which can be formalized as follows:

[0146]

[0147] The smaller the layer number, the higher the layer; , They represent the first One span, the first Construction sequence numbering for each span; , They represent and The target stacking layer number (the smaller the layer number, the higher it is).

[0148] Step 6: Perform reverse production sequence derivation based on stacking target in MES;

[0149] Within the same stack group, components produced earlier must be located on the lower layer, and components produced later must be located on the upper layer. To ensure that the actual stack layer position matches the target layer position, this invention introduces a reverse-order production principle:

[0150] In the same beam group Inside, the sorted sequence from step 5 Reverse traversal to get production order sequence :

[0151]

[0152] Production in accordance with the production order function ;

[0153] Stacked according to the completion time of the components, formalized as:

[0154]

[0155] Where, , represent the production order number across and across ; represent the actual stacking layer position in the yard across ; represent the actual stacking layer position in the yard across ;

[0156] Since the production order and the construction order are strictly inverse within the group, therefore:

[0157]

[0158] That is, the target stacking layer position is achieved through reverse production; represent the actual stacking layer position function.

[0159] Step 7: Generate component-level production and stacking plans in MES and WMS;

[0160] Based on the foregoing steps, use MES and WMS to expand each cross to the component level, i.e., from the beam type group to each piece of beam; for the first piece of beam , , record the following fields:

[0161] Production order number : inherit the cross-level order, which can be further subdivided into intra-cross order;

[0162] Cross , cross length ;

[0163] Beam type group ;

[0164] Template phase number ;

[0165] Storage area ;

[0166] Stacking layer position ;

[0167] Construction sequence .

[0168] The system automatically generates a production and stacking schedule at the component level, and can output data in a format recognizable by MES and WMS, to drive prefabrication production and yard operations.

[0169] The application also provides an assembled bridge large-volume heavy component production scheduling system, comprising:

[0170] A data modeling module collects and stores basic information such as span number, span length, construction sequence, beam piece quantity, storage area, and processes it into a standardized data model that can be used for calculation;

[0171] A size aggregation grouping module clusters components based on span length to generate a beam type group set;

[0172] A template stage decision module determines the template production stage sequence of the beam type group according to the construction sequence and engineering requirements;

[0173] A storage area allocation module allocates storage areas for each beam type group to realize centralized stacking of the same size;

[0174] A stacking layer position decision module calculates the target stacking layer position within each beam type group based on the construction sequence;

[0175] A reverse sequence production scheduling module generates a reverse sequence production sequence within the group according to the target stacking layer position, and forms a production sequence function;

[0176] A plan generation and release module generates a production and stacking schedule and releases it to MES and WMS to drive prefabrication production and yard operations.

[0177] The application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed on a processor, performs the steps of the assembled bridge large-volume heavy component production scheduling method described above, to realize reverse sequence production and partition stacking collaborative optimization scheduling of assembled beam pieces.

[0178] The embodiments are preferred embodiments of the application, but the application is not limited to the above embodiments, and any obvious improvements, replacements or modifications made by those skilled in the art without departing from the essential content of the application shall fall within the protection scope of the application.

Claims

1. A method for scheduling the production of large-volume heavy components for prefabricated bridges, characterized in that, The process includes the following: Step 1: Collect component information from different sources and convert it into a standardized data model that can be used for calculation; Step 2: Based on the standardized data model, aggregate and group the component sizes according to the planning package to obtain the beam type group set; Step 3: Determine the sequence of formwork stages for the beam group; Step 4: Allocate storage areas for beam groups; Step 5: Calculate the target stacking layer for each span within the beam group; Step 6: Perform reverse production sequence derivation based on stacking targets; Step 7: Generate component-level production and stacking plans.

2. The method for scheduling the production of large-volume heavy components for prefabricated bridges according to claim 1, characterized in that, In step 1, the standardized data model is cross-set. , , , , They represent the 1st span, the 2nd span, and the 3rd span, respectively. Span; and for any span ,1≤ ≤ It has the following attributes: Span Used to distinguish beam types of different sizes; On-site construction sequence ,and , Represents the set of positive integers; Number of beam segments ; Optional attributes include: bridge site zoning, direction, and traffic organization priority.

3. The method for scheduling the production of large-volume heavy components for prefabricated bridges according to claim 2, characterized in that, The specific process of size aggregation and grouping in step 2 is as follows: Clustering the span sets based on span length forms beam-type groups. : in, This refers to the span length. The beam group set obtained by aggregation for: in, , , These represent the various beam groups formed under different span lengths.

4. The method for scheduling the production of large-volume heavy components for prefabricated bridges according to claim 3, characterized in that, The specific process of step 3 is as follows: Define a mapping function from beam span to formwork stage number. : , , , These represent the first span dimension, the second span dimension, and the third span dimension, respectively. Each span length dimension; In cross sets In the middle, the cross will be carried out in accordance with the construction sequence. Sort in ascending order and construct the following sequence: ,in Scan the sequence sequentially, when a certain span length When it appears for the first time, a new stage number is assigned to it, thus obtaining the template stage sequence: =Phase Number in, , , These represent the first span, second span, and third span respectively, arranged in the construction sequence. Span; , , These represent the construction sequence numbers for the first, second, and last construction phases within the corresponding span. Indicates cross Corresponding span The template production stage number to which it is mapped; This indicates the sequence number of each span in the construction sequence, with a value range of [value missing]. .

5. The method for scheduling the production of large-volume heavy components for prefabricated bridges according to claim 4, characterized in that, The specific process of step 4 is as follows: Set up a collection of storage areas in the yard for: Set the region allocation function : Each beam group When assigned to one or more storage areas, groups of beams with the same span are preferentially stacked in the same area: in, , , These represent the 1st, 2nd, and 3rd available in the storage yard, respectively. One storage area; Indicates the span length dimension category The corresponding storage area allocation function; Indicates belonging to a cross-length category cross Storage areas allocated to the yard .

6. The method for scheduling the production of large-volume heavy components for prefabricated bridges according to claim 5, characterized in that, The specific process of step 5 is as follows: For any beam type group Arrange its internal components in ascending order according to the construction sequence: in: in, Indicates beam type group The cross-sequence is arranged in ascending order of construction sequence; , , These represent the 1st, 2nd, and 3rd construction sequences within the beam group, arranged from earliest to latest. One span; , , They represent , , Construction sequence number; Set target stacking level function , here This indicates the sequence number within the construction sequence of the beam group. The range of values ​​is ; This is the highest level in this beam group; This is the lowest level in this beam group; The earlier the construction sequence, the higher the target stacking layer, which can be formalized as follows: in, , They represent the first One span, the first Construction sequence numbering for each span; , They represent and The target stacking layer number.

7. The method for scheduling the production of large-volume heavy components for prefabricated bridges according to claim 6, characterized in that, The specific process of step 6 is as follows: In the same beam group Inside, the sorted sequence from step 5 Perform a reverse traversal to obtain the production sequence. : according to Production proceeds in the order specified, forming a production sequence function. ; When stacking components, they should be arranged according to their completion time, which can be formalized as follows: in, , They represent cross and across Production sequence number; Indicates cross The actual stacking level in the stockyard; Indicates cross The actual stacking level in the stockyard; Because the production sequence and the construction sequence are strictly in reverse order within the group, therefore: The target stacking level is achieved through reverse production; This represents the actual stacking layer bit function.

8. The method for scheduling the production of large-volume heavy components for prefabricated bridges according to claim 7, characterized in that, In step 7, each span is expanded to the component level, that is, from the beam group to each individual beam; for the first... beam Record the following fields: Production sequence number ; Belonging to , span ; Beam type group Template stage number Storage area Stacked layers Construction sequence ; Automatically generate component-level production and stacking plans to drive prefabrication production and yard operations.

9. A system for implementing the production scheduling method for large-volume heavy components of prefabricated bridges as described in claim 1, characterized in that, include: The data modeling module collects and stores basic information including span number, span length, construction sequence, number of beam segments, and storage area, and processes it into a standardized data model that can be used for calculation. The size aggregation and grouping module clusters components based on span length to generate a set of beam-type groups. The template stage decision module determines the sequence of template production stages for beam groups based on the construction sequence and project requirements. The storage area allocation module allocates storage areas to each beam group, enabling centralized stacking of beams of the same size. The stacking layer decision module calculates the target stacking layer based on the construction sequence within each beam group; The reverse production scheduling module generates a reverse production sequence within the group based on the target stacking target layer, and forms a production sequence function; The plan generation and release module generates production and stacking plans, driving prefabrication production and yard operations.

10. A computer-readable storage medium, characterized in that, It stores a computer program that, when run on a processor, executes the steps of the prefabricated bridge large-volume heavy component scheduling method as described in claim 1.

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